IMARC Group, a leading market research company, has released a report titled “Supply Chain Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028“. According to the report, The global supply chain analytics market size reached US$ 6.9 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 18.3 Billion by 2028, exhibiting a growth rate (CAGR) of 17.6% during 2023-2028.
Supply chain analytics refers to a technological solution that collects data and information to provide insights into logistics performance at the procurement, processing, and distribution levels of a product. They assist in risk management, increasing planning accuracy, enhancing order management, streamlining procurement, and increasing return on investment (ROI). They also help maintain inventory records, increase productivity, and standardize different processes.
Request for a sample copy of this report: https://www.imarcgroup.com/supply-chain-analytics-market/requestsample
Supply Chain Analytics Market Trends and Drivers:
The rising usage of cloud-based solutions in small and medium-scale enterprises (SMEs) represents one of the major factors positively influencing the demand for supply chain analytics around the world. In addition, the thriving e-commerce industry is driving the adoption of supply chain analytics to provide real-time information on warehouse management and delivery. Apart from this, industry players are integrating supply chain analytics services with advanced technologies, such as the internet of things (IoT), machine learning (ML), and artificial intelligence (AI). This, in turn, is impelling the growth of the market.
Report Segmentation:
The report has segmented the market into the following categories:
Breakup by Component:
- Software
- Demand Analysis and Forecasting
- Supplier Performance Analytics
- Spend and Procurement Analytics
- Inventory Analytics
- Transportation and Logistics Analytics
- Services
- Professional
- Support and Maintenance
Breakup by Deployment Mode:
- On-premises
- Cloud-based
Breakup by Enterprise Size:
- Large Enterprises
- Small and Medium Enterprises
Breakup by Industry Vertical:
- Automotive
- Food and Beverages
- Healthcare and Pharmaceuticals
- Manufacturing
- Retail and Consumer Goods
- Transportation and Logistics
- Others
Market Breakup by Region:
- North America (United States, Canada)
- Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)
- Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
- Latin America (Brazil, Mexico, Others)
- Middle East and Africa
Competitive Landscape with Key Player:
- Axway, Capgemini SE
- International Business Machines Corporation
- Infor Inc (Koch Industries Inc.)
- Kinaxis Inc.
- Manhattan Associates Inc.
- Microstrategy Incorporated
- Oracle Corporation
- QlikTech International AB
- SAP SE
- SAS Institute Inc.
- Tableau Software LLC (Salesforce Inc.).
Explore full report with table of contents: https://www.imarcgroup.com/supply-chain-analytics-market
If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.
About Us
IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.
IMARC’s information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the company’s expertise.
Contact US
IMARC Group
Email: [email protected]
USA: +1-631-791-1145 | Asia: +91-120-433-0800
Address: 134 N 4th St. Brooklyn, NY 11249, USA
Follow us on Twitter: @imarcglobal
